Imagen de Portada

Multi-Scale and Multimodal Species Distribution Modeling

Fuente: arXiv

Guardado en:

Detalles Bibliográficos
Autores principales:	van Tiel, Nina, Zbinden, Robin, Dalsasso, Emanuele, Kellenberger, Benjamin, Pellissier, Loïc, Tuia, Devis
Formato:	Preprint
Publicado:	2024
Materias:	Machine Learning
Acceso en línea:	Acceder al recurso
Etiquetas:	Agregar Etiqueta Sin Etiquetas, Sea el primero en etiquetar este registro!

Ejemplares similares

Imbalance-aware Presence-only Loss Function for Species Distribution Modeling
por: Zbinden, Robin, et al.
Publicado: (2024)

On the selection and effectiveness of pseudo-absences for species distribution modeling with deep learning
por: Zbinden, Robin, et al.
Publicado: (2024)

MaskSDM with Shapley values to improve flexibility, robustness, and explainability in species distribution modeling
por: Zbinden, Robin, et al.
Publicado: (2025)

POLO -- Point-based, multi-class animal detection
por: May, Giacomo, et al.
Publicado: (2024)

MaskSDM with Shapley values to improve flexibility, robustness and explainability in species distribution modelling
por: Robin Zbinden, et al.
Publicado: (2025)

Migrating in a Warming World: A Deep Learning Approach to Predict Pan‐American Seasonal Shifts in the Monarch Butterfly Niche
por: Chiara Vanalli, et al.
Publicado: (2026)

CISO: Species Distribution Modeling Conditioned on Incomplete Species Observations
por: Abdelwahed, Hager Radi, et al.
Publicado: (2025)

Multi-Scale Grouped Prototypes for Interpretable Semantic Segmentation
por: Porta, Hugo, et al.
Publicado: (2024)

Geographic Location Encoding with Spherical Harmonics and Sinusoidal Representation Networks
por: Rußwurm, Marc, et al.
Publicado: (2023)

SMARTIES: Spectrum-Aware Multi-Sensor Auto-Encoder for Remote Sensing Images
por: Sumbul, Gencer, et al.
Publicado: (2025)

CanadaFireSat: Toward high-resolution wildfire forecasting with multiple modalities
por: Porta, Hugo, et al.
Publicado: (2025)

Observation-driven correction of numerical weather prediction for marine winds
por: Peduto, Matteo, et al.
Publicado: (2025)

CISO : Species distribution modelling Conditioned on Incomplete Species Observations
por: Hager Radi Abdelwahed, et al.
Publicado: (2026)

TRUST: Leveraging Text Robustness for Unsupervised Domain Adaptation
por: Litrico, Mattia, et al.
Publicado: (2025)

From Classification to Segmentation with Explainable AI: A Study on Crack Detection and Growth Monitoring
por: Forest, Florent, et al.
Publicado: (2023)

Just Project! Multi-Channel Despeckling, the Easy Way
por: Denis, Loïc, et al.
Publicado: (2024)

What to align in multimodal contrastive learning?
por: Dufumier, Benoit, et al.
Publicado: (2024)

The Coralscapes Dataset: Semantic Scene Understanding in Coral Reefs
por: Sauder, Jonathan, et al.
Publicado: (2025)

The Performance and Potential of Deep Learning for Predicting Species Distributions
por: Benjamin Kellenberger, et al.
Publicado: (2026)

Unifying Self-Supervised Clustering and Energy-Based Models
por: Sansone, Emanuele, et al.
Publicado: (2023)

BATIS: Bayesian Approaches for Targeted Improvement of Species Distribution Models
por: Villeneuve, Catherine, et al.
Publicado: (2025)

MALPOLON: A Framework for Deep Species Distribution Modeling
por: Larcher, Theo, et al.
Publicado: (2024)

Global patterns in plant environmental breadths
por: Marco Barandun, et al.
Publicado: (2025)

MSPT: Efficient Large-Scale Physical Modeling via Parallelized Multi-Scale Attention
por: Curvo, Pedro M. P., et al.
Publicado: (2025)

Multi-Label Plant Species Prediction with Metadata-Enhanced Multi-Head Vision Transformers
por: Herasimchyk, Hanna, et al.
Publicado: (2025)

A Distributed Gaussian Process Model for Multi-Robot Mapping
por: Nabarro, Seth, et al.
Publicado: (2026)

Spatial Clustering of Citizen Science Data Improves Downstream Species Distribution Models
por: Ahmed, Nahian, et al.
Publicado: (2024)

Two-Scale Latent Dynamics for Recurrent-Depth Transformers
por: Pappone, Francesco, et al.
Publicado: (2025)

Better, Not Just More: Data-Centric Machine Learning for Earth Observation
por: Roscher, Ribana, et al.
Publicado: (2023)

Generating Sample-Based Musical Instruments Using Neural Audio Codec Language Models
por: Nercessian, Shahan, et al.
Publicado: (2024)

Hybrid Spatial Representations for Species Distribution Modeling
por: Yuan, Shiran, et al.
Publicado: (2024)

Scaling Law Hypothesis for Multimodal Model
por: Sun, Qingyun, et al.
Publicado: (2024)

MiTREE: Multi-input Transformer Ecoregion Encoder for Species Distribution Modelling
por: Chen, Theresa, et al.
Publicado: (2024)

Tracking Adaptation Time: Metrics for Temporal Distribution Shift
por: Iovine, Lorenzo, et al.
Publicado: (2026)

Cross-Modal Learning of Housing Quality in Amsterdam
por: Levering, Alex, et al.
Publicado: (2024)

Retrieval of Surface Solar Radiation through Implicit Albedo Recovery from Temporal Context
por: Frischholz, Yael, et al.
Publicado: (2025)

Unifying and extending Precision Recall metrics for assessing generative models
por: Sykes, Benjamin, et al.
Publicado: (2024)

Bounding Box Anomaly Scoring for simple and efficient Out-of-Distribution detection
por: Yahiaoui, Mohamed Bahi, et al.
Publicado: (2026)

$C^2M^3$: Cycle-Consistent Multi-Model Merging
por: Crisostomi, Donato, et al.
Publicado: (2024)

Evolving Multi-Scale Normalization for Time Series Forecasting under Distribution Shifts
por: Qin, Dalin, et al.
Publicado: (2024)